Semi-automated image acquisition and analyses for broad users utilizing macro keyboards
Scientific research relies on microscopy. However, manual image acquisition and analysis are inefficient and susceptible to errors. Fully automated workflows are often task-specific, and current AI-based systems are costly and may face difficulties in new scenarios. Here, we introduce a semi-automated system utilizing macro keyboards to streamline workflows. Programming multi-action keys for tasks such as focusing, image capture and data analysis reduces the manual input, boosting efficiency and accuracy. This intuitive system saves time for both experienced users and trainees. This cost-effective solution improves accessibility, flexibility and usability, supporting not only diverse imaging applications but also broader scientific instrumentation processes.
Authors
- Toshiyasu Taniguchi (ORCID: https://orcid.org/0000-0002-7746-3658)
- Takaaki Watanabe (ORCID: https://orcid.org/0000-0001-7910-1338)
Institutions
- Tokai University (JP)
Publication Details
- Journal
- Microscopy
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1093/jmicro/dfaf018
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- Naito Foundation
- Uehara Memorial Foundation
- Japan Society for the Promotion of Science
- School of Medicine, Tokai University